CGVQM is a full-reference video quality metric that predicts perceptual differences between pairs of videos. Like PSNR and SSIM, it compares a ground-truth reference to a distorted version (e.g.
Abstract: This research work aims to develop an AI-based plant growth monitoring system using computer vision. By leveraging computer vision algorithms and artificial intelligence techniques, the ...
Abstract: In this study, we developed a wearable eye tracker leveraging mini-infrared point sensors. The eye tracker utilized two inexpensive mini-infrared ray (IR) point sensors to measure the ...
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